Failure to Launch

Based on numbers alone, #womenswave was successful. As a comparison point, during the week in which I collected data, 7,998 public tweets included #Womensmarch and 7,059 public tweets included #womenswave. As the word cloud below demonstrates (Figure 1), #womenswave indexed other conversations by invoking other hashtags, users, and phrases.

For more detailed numbers, please click each of the hashtags below to discover how many times that hashtag, user, or phrase co-occurred with #womenswave. However, as Wolff (2018) and Navar-Gill & Stanfill (2018) note though, these numbers say little on their own. Rather, they can be springboards for more humanist questions. 

@womensmarch

#womensmarch

#imarchfor

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2,743 co-occurrences
As the handle of the Women's March National's account, many of the tweets, both positive and negative, were directed to @womensmarch.

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1,515 co-occurrences
As the handle of the hashtag used for the previous marches, many of the tweets, both positive and negative, also used #womensmarch.

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760 co-occurrences
People used this hashtag to positively index the march. However, as discussed in the qualitative section of my research, the reasons that spurred protesters to march were diverse. 

#jan19

#whyimarch

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440 co-occurrences
This hashtag referred to the date of the 2019 March. It says little about if the Twitter user attended the March, or their motivations though.

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437 co-occurrences
Similar to #imarchfor, this hashtag referenced people's motivations for attending the march. However, as with #imarchfor, these motivations varied widely. 

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403 co-occurrences
TAGS does not indicate if all of the emoji fists were the default yellow color, which would say something about the intersectionality of the march. The fist was largely positive, but still ambiguous.

#womensmarch2019

Jewish

trump

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340 co-occurrences
Much like #womensmarch, this hashtag referred to the March more generally, but specified the year of the march. It tells researchers little about motivations or if the Twitter user attended though. 

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211 co-occurrences
The frequency of this word speaks to the prevalence of concerns about anti-Semitism at the March. However, it is unclear if people were criticizing or defending the march with just numerical data.  

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209 co-occurrences
Though protesters may have been using the phrase as a verb, it is likely that they were referencing Donald Trump.  While most protesters expressed condemnation for Trump, supporters of Trump could have challenged the march with a tweet using #womenswave